Index › Products › Protect AI · October 2026 Edition

2 categories · Named, not ranked

Protect AI

12Judge labels

0First choices

1Negative labels

9 / 14Models named it

2Categories

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Protect AI was named 6 times in AI security and 1 other category, where SentinelOne Singularity led with 11%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business46 of 147

under the label threshold

Mid-market41 of 233

under the label threshold

Enterprise53 of 155

under the label threshold

In ai security · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Protect AI for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
AI security platforms	Security operations	0%	41 of 233	0%	5	under 10 labels · led by SentinelOne Singularity at 11%
AI governance platforms	Data platform	0%	76 of 135	0%	1	under 10 labels · led by Credo AI at 18%

Movement

This is the first edition on this tier, so no move can be computed for Protect AI yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Protect AI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	1	0	1
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	1	0	0	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	1	1	2
GLM 4.7 FlashX	0	2	0	2
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct1 labelNone

Paraphrase0 labelsNone

Comparative7 labels3not counted in share

Budget-constrained0 labelsNone

Scale-constrained3 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative12 labels in all, every segment counted; 0 of the 3 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Model scanning (Guardian), AI SBOM (Radar), runtime guardrails (Layer); ... Broadest coverage.” Grok 4.1 Fast · AI security · comparative prompt · first choice

“Best for: Mid‑market companies that want governance tightly coupled with security infrastructure.” GLM 4.7 FlashX · AI governance · direct prompt · alternative

“If your risk is downloading a malicious model from Hugging Face, look at Protect AI.” Gemini 3.5 Flash · AI security · comparative prompt · alternative

“Add model‑centric tools (HiddenLayer, Checkmarx, Protect AI)” GLM 4.7 FlashX · AI security · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Protect AI, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Protect AI was named but was not.

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ProductSame answerTook the first choice insteadHead to head

HiddenLayer8 of 120Not among the top eight

Lakera Guard8 of 120Not among the top eight

CalypsoAI4 of 120Not among the top eight

CrowdStrike4 of 120Not among the top eight

SentinelOne Singularity4 of 120Not among the top eight

AWS3 of 120Not among the top eight

Checkmarx3 of 120Not among the top eight

Lasso Security3 of 120Not among the top eight

Microsoft3 of 120Not among the top eight

Mindgard3 of 120Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Protect AI. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 11 of the 12 answers that named Protect AI and are not a share of its labels.

Domains cited

venn.com5

cybermagazine.com4

reco.ai4

wecompareai.com4

checkpoint.com3

cyera.com3

nudgesecurity.com3

underdefense.com3

witness.ai3

wiz.io3

No domain is on file for Protect AI, so its own site is not marked.

Pages cited

venn.com/learn/ai-security/ai-security-tools5

cybermagazine.com/top10/top-10-ai-powered-cybersecurity-solutions4

reco.ai/compare/ai-security-tools-for-enterprises4

wecompareai.com/blog/daily-ai-compare-2026-03-29-ai-security-platforms-compared-whos-actua4

cyera.com/blog/ai-security-platforms3

witness.ai/blog/ai-security-platform3

cyera.com/blog/best-ai-data-security-platform2

eon.io/blog/ai-data-security-platform2

Pages are listed as the models cited them.

Search and answers

Where Protect AI stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 1,000 a month (“protect ai”)
AI search demand for its name, est.: 275 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 41 of 233 in AI security

Segment leader

11%

SentinelOne Singularity

First choices: 0 across its categories
Named in: 12 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Protect AI

What the judge wrote, as written, with how often. The vendor table decides that these count as Protect AI; a claim can dispute any of them.

Protect AI (Palo Alto Networks Prisma AIRS) 1Protect AI (now part of Palo Alto Networks) 1

Follow Protect AI

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Protect AI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Protect AI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Protect AI by email, built from the raw record of the edition. It shows:

where Protect AI is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Protect AI, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.